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Machine Learning Defense Jobs in Arizona (NOW HIRING)

Raytheon Technologies

Software Engineer II

Tucson, AZ · On-site

$92K - $126K/yr

Industry experience in defense? Not required - we'll invest in you. If you meet the minimum ... time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem ...

RTX

Software Engineer II with Security Clearance

Tucson, AZ · On-site

$90K - $124K/yr

Industry experience in defense? Not required - we'll invest in you. If you meet the minimum ... time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem ...

Raytheon

Software Engineer II

Tucson, AZ

$92K - $126K/yr

Industry experience in defense? Not required -- we'll invest in you. If you meet the minimum ... time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem ...

Raytheon

Software Engineer II

Phoenix, AZ

$96K - $132K/yr

Industry experience in defense? Not required -- we'll invest in you. If you meet the minimum ... time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem ...

Raytheon

Software Engineer II

Tucson, AZ

$92K - $126K/yr

Industry experience in defense? Not required -- we'll invest in you. If you meet the minimum ... time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem ...

Bechtel

Cybersecurity Engineer

Glendale, AZ · On-site +1

Champion an AI-first cybersecurity engineering approach, leveraging automation, machine learning ... defense strategies, including AI-driven detection and response capabilities. * Drive continuous ...

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Machine Learning Defense information

What is machine learning defense?

Machine learning defense refers to techniques and strategies designed to protect machine learning models from various security threats, such as adversarial attacks, data poisoning, and model theft. These defenses can include methods like adversarial training, input sanitization, and robust model architectures. The goal is to ensure that machine learning systems remain accurate, reliable, and safe even when faced with malicious attempts to manipulate or exploit them. As machine learning becomes more widely adopted, the importance of effective defenses continues to grow.

What are some common challenges faced by professionals in machine learning defense roles, and how can they be addressed?

Professionals in Machine Learning Defense often encounter challenges such as staying ahead of adversarial attacks, managing model robustness, and keeping up with rapidly evolving threat landscapes. Addressing these challenges typically requires continuous learning, collaboration with cybersecurity and data science teams, and implementing rigorous testing and monitoring frameworks for deployed models. Proactively participating in industry forums and staying updated on the latest research also help in identifying emerging threats and mitigation strategies.

What are the key skills and qualifications needed to thrive as a machine learning defense professional, and why are they important?

To thrive as a Machine Learning Defense professional, you need a strong background in computer science, cybersecurity, and machine learning, often supported by degrees in these fields or related certifications. Familiarity with frameworks like TensorFlow or PyTorch, experience with adversarial machine learning techniques, and knowledge of security protocols are typically required. Critical thinking, problem-solving, and strong communication skills are essential for anticipating threats and collaborating with interdisciplinary teams. These skills ensure that AI systems remain robust and secure against evolving cyber threats, protecting sensitive data and organizational integrity.

What are popular job titles related to Machine Learning Defense jobs in Arizona?

For Machine Learning Defense jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Machine Learning Defense jobs in Arizona look for?

The top searched job categories for Machine Learning Defense jobs in Arizona are:

What cities in Arizona are hiring for Machine Learning Defense jobs?

Cities in Arizona with the most Machine Learning Defense job openings:

Machine Learning Defense jobs near you

Senior Manufacturing Engineer

Technical Talent Group

Phoenix, AZ • On-site

$50 - $75/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

???? Now Hiring: Senior Manufacturing Engineer | Aerospace & Defense | Phoenix, AZ ????

I'm partnering with an innovative aerospace & defense manufacturer that's looking for a Senior Manufacturing Engineer to play a critical role in bridging engineering and production.

This isn't a role where you'll be sitting behind a desk all day. They're looking for someone who enjoys getting out on the shop floor, solving manufacturing challenges, working with suppliers, and influencing product designs before they ever hit production.

In this role, you'll:

✅ Drive production support and manufacturing improvements

✅ Partner with suppliers and conduct vendor visits

✅ Review drawings, GD&T, and Engineering Change Orders (ECOs)

✅ Provide Design for Manufacturability (DFM) input on new designs

✅ Work with machining, castings, forgings, sheet metal, heat treat, and other aerospace manufacturing processes

✅ Help keep design engineers focused on innovation by owning manufacturing challenges

What they're looking for:

• Strong GD&T experience (must-have)

• Aerospace or defense manufacturing background

• Experience supporting machining and complex manufacturing processes

• Supplier development or manufacturing process improvement experience

• Someone who is self-motivated, thrives in a fast-paced environment, and enjoys taking ownership

This is an opportunity to make a real impact with a growing engineering team where your ideas and expertise will directly influence both manufacturing and product development.

If you—or someone in your network—has a background in aerospace manufacturing engineering and is open to learning more, send me a message or comment below. I'd be happy to share additional details.

#ManufacturingEngineering #Aerospace #Defense #GDandT #DFM #EngineeringJobs #PhoenixJobs #Manufacturing #Hiring #SupplierQuality #ProductionEngineering

You should be proficient in:

  • GD&T
  • Solidworks
ID:qnkTyx